Megha Joshi

Megha Joshi has a diverse work experience in the field of research and data analysis. Megha started their career as an Integrated Community Development Intern at A Glimmer of Hope, where they developed a method to count the number of beneficiaries of projects and wrote grant proposals.

Megha then worked as a Graduate Research Assistant at The University of Texas at Austin, conducting program evaluations using propensity score analysis and integrating large relational datasets. Megha also served as a Graduate Teaching Assistant for various courses, effectively communicating complex statistical methods to students.

After that, Megha worked as a Data Scientist at Analyst Institute, where they developed a codebase for inferential analysis on large and complex datasets. Megha conducted methodological literature reviews, wrote analysis plans, and collaborated with analysts and research managers to solve methods-related issues.

Currently, Megha is working as a Quantitative Researcher at the American Institutes for Research. Megha'sresponsibilities include developing methodological strategies for projects using causal inference and meta-analysis, conducting analyses to evaluate program and policy effects, and creating a Shiny app for users to run meta-analyses and plot research evidence gaps.

Overall, Megha Joshi has a strong background in research, data analysis, and statistical methods, with experience in both academia and the non-profit sector.

Megha Joshi completed their Bachelor's Degree in Art History and Psychology from Bryn Mawr College from 2010 to 2014. Megha then pursued a Master's Degree in Quantitative Methods from The University of Texas at Austin, graduating in 2017. Megha continued their academic journey at the same institution and obtained a Doctor of Philosophy (PhD) degree in Quantitative Methods in 2021.